Literature DB >> 22444036

Genetic parameters for tissue and fatty acid composition of backfat, perirenal fat and longissimus muscle in Large White and Landrace pigs.

P Sellier1, L Maignel, J P Bidanel.   

Abstract

Genetic parameters pertaining to the same chemical characteristics of three porcine tissues, that is backfat (BF), perirenal fat (PF) and longissimus muscle (LM), were estimated in centrally tested Large White and Landrace pigs. Animals were fed ad libitum. They were slaughtered at an average BW of 99.6 kg, and samples of BF (both inner and outer layers) and LM were removed at the 13th to 14th rib level of the carcass on the day after slaughter. The data set included 2483 animals recorded for average daily gain (ADG; 35 to 100 kg), estimated carcass lean percentage (LEAN) and lean tissue growth rate (LTGR). Among these animals, around 950 pigs were recorded for lipid content (L%) and water content (W%) of BF and LM and for fatty acid composition (FAC) of BF, whereas FAC of LM was measured on 297 pigs and L%, W%, and FAC of PF on around 210 pigs. Heritabilities (h2) and genetic correlations (ra) were estimated using REML-animal model methodology. Estimates of h2 for L%, W% and FAC of BF, PF and LM were of moderate-to-high magnitude: for example 0.47 ± 0.09 for L% of LM, 0.59 ± 0.11 for W% of BF, 0.45 ± 0.08 for the ratio of polyunsaturated to saturated fatty acids (P/S) of BF, 0.61 ± 0.15 and 0.29 ± 0.10 for the coefficient of unsaturation of lipids (UNSAT, average number of double bonds of unsaturated fatty acids) of PF and LM, respectively. Genetic correlations of L% with P/S or UNSAT were strongly negative (from -0.4 to -0.9) in BF and LM, but not in PF. The 'between-tissue' genetic correlations for homologous compositional traits were far from being unity (e.g. ra = 0.57 ± 0.05 'between' BF and PF for UNSAT). Genetic relationships between ADG and tissue compositional traits were globally weak. By contrast, genetic correlations were moderate-to-high between carcass leanness and tissue compositional traits, especially those of fat depots: for example -0.66 ± 0.14 between LEAN and L% of BF, 0.50 ± 0.07 between LEAN and UNSAT of PF, -0.44 ± 0.08 between LEAN and L% of LM, and 0.27 ± 0.03 between LEAN and UNSAT of LM. On the basis of the parameter estimates found here, breeding for higher LTGR is expected to increase the ratio of water to lipids and the unsaturation degree of lipids in subcutaneous BF and, to a lesser extent, in PF. Tissue composition and FAC of LM would be less affected.

Entities:  

Year:  2010        PMID: 22444036     DOI: 10.1017/S1751731109991261

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  5 in total

1.  Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data.

Authors:  María Muñoz; M Carmen Rodríguez; Estefânia Alves; Josep María Folch; Noelia Ibañez-Escriche; Luis Silió; Ana Isabel Fernández
Journal:  BMC Genomics       Date:  2013-12-02       Impact factor: 3.969

2.  Pig fatness in relation to FASN and INSIG2 genes polymorphism and their transcript level.

Authors:  Maria Grzes; Slawomir Sadkowski; Katarzyna Rzewuska; Maciej Szydlowski; Marek Switonski
Journal:  Mol Biol Rep       Date:  2016-03-10       Impact factor: 2.316

3.  Comparison of fatty acid profile of three adipose tissues in Ningxiang pigs.

Authors:  Qianming Jiang; Chenyan Li; Yuannian Yu; Yueteng Xing; Dingfu Xiao; Bin Zhang
Journal:  Anim Nutr       Date:  2018-07-07

4.  Linoleic acid metabolic pathway allows for an efficient increase of intramuscular fat content in pigs.

Authors:  Sofia Gol; Rayner González-Prendes; Lluís Bosch; Marc Tor; Josep Reixach; Ramona N Pena; Joan Estany
Journal:  J Anim Sci Biotechnol       Date:  2019-05-07

5.  Hepatic transcriptome analysis identifies genes, polymorphisms and pathways involved in the fatty acids metabolism in sheep.

Authors:  Asep Gunawan; Kasita Listyarini; Ratna Sholatia Harahap; Katrin Roosita; Cece Sumantri; Ismeth Inounu; Syeda Hasina Akter; Md Aminul Islam; Muhammad Jasim Uddin
Journal:  PLoS One       Date:  2021-12-23       Impact factor: 3.240

  5 in total

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